Your question is AI Security in Regulated Industries. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you handle data privacy and security when implementing AI solutions for regulated industries?
Explain a practical machine learning workflow covering data minimization, consent and purpose limitation, de-identification, encryption, access control, auditability, model selection, and monitoring. Address how you would prevent sensitive data leakage during training, validation, deployment, logging, and model interpretation. Include the controls, evaluation criteria, and Python implementation you would use for a production-ready solution.
